Agility Robotics will become a public company through a special purpose acquisition company (SPAC) transaction that will provide $465 million in new capital from retail investors and a tranche of private funding. CEO Peggy Johnson said the decision to go public was driven in part by demand for the next-generation Digit robot: the company reports $300 million in planned contracts from 30 customers for Digit 5.
Origins and current deployments
Agility was spun out of Oregon State University in 2015 by researchers working on safe bipedal locomotion. The company has concentrated on deploying a small fleet of Digit robots into industrial environments: nine customers currently use the robots, including Schaeffler, GXO, Toyota Motor Manufacturing Canada, and Mercado Libre. At one GXO logistics site, Digits move more than 100,000 totes.
Financials and near-term runway
In the first half of 2026 Agility recorded $174,000 in revenue—mostly from related parties—and a $362 million loss over the same period. Johnson said the SPAC capital will meet the company’s current needs, but she did not present the funding as a guarantee of self-sufficiency.
What Digit 5 promises
Agility says Digit 5 will operate safely around humans rather than only inside isolated work cells as prior models typically do. The SPAC deals and customer commitments are conditioned on Digit 5 meeting undisclosed targets—metrics such as throughput, uptime, and placement accuracy. The company has not yet shown Digit 5 prototypes publicly; Johnson said the robots will be demonstrated at CES 2027 and should be broadly available by the end of 2027.
Business model and proof-of-concept economics
Agility pitches a robot-as-a-service model where a robot can save roughly $100,000 per year for a customer; buying the robot outright would increase those savings. Prospective customers must pay $500,000 for an on-site proof of concept before a full-scale deployment. As of May 2026, four customers had signed such agreements.
Technical limits and AI prospects
While Digit can lift and place heavy loads with about 98% accuracy, it—like most contemporary robots—still lacks dexterity for complex manipulation tasks. The wider robotics community is testing generative AI and transformer-based approaches to improve physical dexterity, but training systems based on video and teleoperation have not yet produced reliable general autonomy.
Agility emphasizes that it has 65,000 hours of operational data from real customers and facilities, which the company says accelerates Digit’s training compared with purely simulated datasets.
Manufacturing and scale
Agility has not published explicit production targets for Digit 5, but previously indicated its manufacturing facility could produce up to 10,000 robots per year. Johnson declined to provide specific production timelines tied to the SPAC proceeds.
Competitive position and outlook
Compared with humanoid robots from Figure, Tesla, 1X, or Boston Dynamics, Digit may appear slower or less agile, but Agility’s advantage lies in field deployments and revenue generation to date. Cofounder and CTO Johnathan Hurst has described a staged approach: start with moving bins and totes, then progress to picking, kitting, cardboard handling and trailer loading—incremental steps toward broader logistics automation.
Agility’s near-term success depends on how quickly it can convert planned contracts into deployed customers for Digit 5 and on how rapidly the robot’s capabilities improve. The SPAC financing and $300 million of planned contracts provide momentum, but the substantial losses and limited current revenue underscore the scaling challenge.
Final note
Agility’s strategy is pragmatic: focus on repetitive, manual tasks where robots can replace hazardous or monotonous human labor. Whether Digit 5 can deliver the task accuracy, uptime, and cost savings claimed will determine if the company can translate fresh capital and commercial commitments into sustainable growth.
